Inter-tumor genomic heterogeneity of breast cancers: comprehensive genomic profile of primary early breast cancers and relapses.
Adult
Aged
Biomarkers, Tumor
/ genetics
Breast Neoplasms
/ genetics
Class I Phosphatidylinositol 3-Kinases
/ genetics
Drug Resistance, Neoplasm
Female
Genomics
/ methods
High-Throughput Nucleotide Sequencing
/ methods
Humans
Middle Aged
Molecular Targeted Therapy
/ methods
Mutation
Neoplasm Metastasis
Neoplasm Recurrence, Local
/ genetics
Neoplasm Staging
Prognosis
Proto-Oncogene Proteins c-myc
/ genetics
Survival Rate
Tumor Suppressor Protein p53
/ genetics
Young Adult
Breast cancer
Comprehensive genomic profile
Genomic heterogeneity
MYC
Next-generation sequencing
Recurrence
TP53
Journal
Breast cancer research : BCR
ISSN: 1465-542X
Titre abrégé: Breast Cancer Res
Pays: England
ID NLM: 100927353
Informations de publication
Date de publication:
15 10 2020
15 10 2020
Historique:
received:
08
04
2020
accepted:
21
09
2020
entrez:
16
10
2020
pubmed:
17
10
2020
medline:
14
1
2021
Statut:
epublish
Résumé
The breast cancer genome dynamically evolves during malignant progression and recurrence. We investigated the genomic profiles of primary early-stage breast cancers and matched relapses to elucidate the molecular underpinnings of the metastatic process, focusing on potentially actionable alterations in the recurrences. A mono-institutional cohort of 128 patients with breast cancers (n = 68 luminal B HER2, n = 6 luminal B HER2+, n = 1 HER2+ non-luminal, n = 56 triple negative) and at least one recurrence in a timeframe of 17 years was evaluated. Next-generation sequencing comprehensive genomic profiling was performed on 289 formalin-fixed paraffin-embedded (FFPE) samples, including primary tumors and matched relapses. Correlations of genomic aberrations with clinicopathologic factors and time to breast cancer relapse were analyzed. Genomic data were available for 188 of 289 FFPE samples that achieved the sequencing quality parameters (failure rate 34.9%), including 106 primary tumors and 82 relapses. All primary and relapse samples harbored at least one genomic alteration, with a median number of six alterations per sample (range 1-16). The most frequent somatic genomic alterations were mutations of TP53 (primary tumors = 49%, relapses = 49%) and PIK3CA (primary tumors = 33%, relapses = 30%). Distinctive genomic alterations of primary tumors were significantly associated with molecular subtypes. TP53, PIK3R1, and NF1 somatic alterations were more frequently detected in triple negative tumors (p value < 0.05); CCND1, FGF3, and FGFR1 copy number gains were recurrently identified in luminal cases (p value < 0.05). Moreover, TP53 mutations and MYC amplification were significantly and independently associated with a shorter time to relapse (p value < 0.05). Molecular subtype changes between primary tumors and relapses were seen in 10 of 128 (7.8%) cases. Most driver genomic alterations (55.8%) were shared between primary tumors and matched recurrences. However, in 39 of 61 cases (63.9%), additional private alterations were detected in the relapse samples only, including 12 patients with potentially actionable aberrations. Specific genomic aberrations of primary breast cancers were associated with time to relapse. Primary tumors and matched recurrences showed a core of shared driver genomic aberrations but private actionable alterations have been identified in the relapses.
Sections du résumé
BACKGROUND
The breast cancer genome dynamically evolves during malignant progression and recurrence. We investigated the genomic profiles of primary early-stage breast cancers and matched relapses to elucidate the molecular underpinnings of the metastatic process, focusing on potentially actionable alterations in the recurrences.
METHODS
A mono-institutional cohort of 128 patients with breast cancers (n = 68 luminal B HER2, n = 6 luminal B HER2+, n = 1 HER2+ non-luminal, n = 56 triple negative) and at least one recurrence in a timeframe of 17 years was evaluated. Next-generation sequencing comprehensive genomic profiling was performed on 289 formalin-fixed paraffin-embedded (FFPE) samples, including primary tumors and matched relapses. Correlations of genomic aberrations with clinicopathologic factors and time to breast cancer relapse were analyzed.
RESULTS
Genomic data were available for 188 of 289 FFPE samples that achieved the sequencing quality parameters (failure rate 34.9%), including 106 primary tumors and 82 relapses. All primary and relapse samples harbored at least one genomic alteration, with a median number of six alterations per sample (range 1-16). The most frequent somatic genomic alterations were mutations of TP53 (primary tumors = 49%, relapses = 49%) and PIK3CA (primary tumors = 33%, relapses = 30%). Distinctive genomic alterations of primary tumors were significantly associated with molecular subtypes. TP53, PIK3R1, and NF1 somatic alterations were more frequently detected in triple negative tumors (p value < 0.05); CCND1, FGF3, and FGFR1 copy number gains were recurrently identified in luminal cases (p value < 0.05). Moreover, TP53 mutations and MYC amplification were significantly and independently associated with a shorter time to relapse (p value < 0.05). Molecular subtype changes between primary tumors and relapses were seen in 10 of 128 (7.8%) cases. Most driver genomic alterations (55.8%) were shared between primary tumors and matched recurrences. However, in 39 of 61 cases (63.9%), additional private alterations were detected in the relapse samples only, including 12 patients with potentially actionable aberrations.
CONCLUSIONS
Specific genomic aberrations of primary breast cancers were associated with time to relapse. Primary tumors and matched recurrences showed a core of shared driver genomic aberrations but private actionable alterations have been identified in the relapses.
Identifiants
pubmed: 33059724
doi: 10.1186/s13058-020-01345-z
pii: 10.1186/s13058-020-01345-z
pmc: PMC7566144
doi:
Substances chimiques
Biomarkers, Tumor
0
MYC protein, human
0
Proto-Oncogene Proteins c-myc
0
TP53 protein, human
0
Tumor Suppressor Protein p53
0
Class I Phosphatidylinositol 3-Kinases
EC 2.7.1.137
PIK3CA protein, human
EC 2.7.1.137
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
107Références
Nat Rev Clin Oncol. 2015 Oct;12(10):573-83
pubmed: 26122181
Cancers (Basel). 2019 Nov 28;11(12):
pubmed: 31795152
Cancer Cell. 2019 Mar 18;35(3):428-440.e5
pubmed: 30853353
Sci Rep. 2019 Dec 10;9(1):18693
pubmed: 31822694
Clin Oncol (R Coll Radiol). 2008 Dec;20(10):763-8
pubmed: 18824337
N Engl J Med. 2016 Aug 25;375(8):717-29
pubmed: 27557300
Clin Cancer Res. 2006 Feb 15;12(4):1157-67
pubmed: 16489069
N Engl J Med. 2018 Jul 12;379(2):111-121
pubmed: 29860917
J Clin Oncol. 2002 Feb 1;20(3):719-26
pubmed: 11821453
Clin Cancer Res. 2014 Jul 1;20(13):3569-80
pubmed: 24803582
Front Med (Lausanne). 2017 Dec 08;4:227
pubmed: 29276709
J Clin Oncol. 2017 Aug 20;35(24):2838-2847
pubmed: 28692382
Clin Cancer Res. 2019 Dec 15;25(24):7413-7423
pubmed: 31515453
CA Cancer J Clin. 2018 Nov;68(6):394-424
pubmed: 30207593
Endocr Relat Cancer. 2000 Sep;7(3):143-64
pubmed: 11021963
J Thorac Oncol. 2018 Aug;13(8):1217-1221
pubmed: 29654927
Lancet. 2017 Jun 17;389(10087):2430-2442
pubmed: 27939063
N Engl J Med. 2004 Dec 30;351(27):2817-26
pubmed: 15591335
Am J Clin Pathol. 2008 Dec;130(6):879-82
pubmed: 19019763
Gene. 2019 Sep 25;714:143955
pubmed: 31326549
Br J Cancer. 2018 Jul;119(2):141-152
pubmed: 29867226
J Natl Cancer Inst. 2018 Jun 1;110(6):568-580
pubmed: 29315431
J Clin Pathol. 2006 Apr;59(4):424-8
pubmed: 16497871
Int J Cancer. 1995 Dec 11;63(6):790-3
pubmed: 8847135
Nature. 2016 May 02;534(7605):47-54
pubmed: 27135926
Hum Mutat. 2003 Mar;21(3):292-300
pubmed: 12619115
J Clin Oncol. 2016 Mar 20;34(9):927-35
pubmed: 26786933
Cancer Genet Cytogenet. 2006 Mar;165(2):151-6
pubmed: 16527609
Curr Oncol Rep. 2019 Dec 11;21(12):110
pubmed: 31828441
Ann Oncol. 2011 Aug;22(8):1736-47
pubmed: 21709140
Med Oncol. 2014 Oct;31(10):214
pubmed: 25216864
Nat Genet. 2019 Oct;51(10):1450-1458
pubmed: 31570896
Med Oncol. 2011 Mar;28(1):57-63
pubmed: 20099049
J Exp Med. 2012 Apr 9;209(4):679-96
pubmed: 22430491
Ann Oncol. 2019 Jan 1;30(1):115-123
pubmed: 30423024
JAMA Oncol. 2018 Oct 1;4(10):1335-1343
pubmed: 29902286
Eur J Cancer. 2014 Jan;50(2):277-89
pubmed: 24269135
Cancer Cell. 2017 Aug 14;32(2):169-184.e7
pubmed: 28810143
J Mol Diagn. 2017 Mar;19(2):313-327
pubmed: 28188106
Clin Cancer Res. 2020 Feb 1;26(3):608-622
pubmed: 31591187
J Clin Pathol. 2018 Sep;71(9):767-773
pubmed: 29535211
Br J Cancer. 2004 Jun 14;90(12):2344-8
pubmed: 15150568
J Clin Med. 2019 Jan 18;8(1):
pubmed: 30669267
Genes Chromosomes Cancer. 1996 Jul;16(3):170-9
pubmed: 8814449
Nat Genet. 2019 Feb;51(2):202-206
pubmed: 30643254